PETpla.net Insider 09 / 2020

MARKET SURVEY 33 PETplanet Insider Vol. 21 No. 09/20 www.petpla.net Sacmi Imola S.C. Intravis GmbH Via Selice Prov Le 17/A, 40026 Imola (BO) - Italy +39 0542 607111 www.sacmi.com Mr Stefano Severi Sales Area Manager +39 3356594236 stefano.severi@sacmi.it Rotter Bruch 26a, 52068 Aachen, Germany +49 241 9126 0 www.intravis.de Mr Christoph Wynands, Product Manager Caps and Closures +49 241 9126 0 info@intravis.de CHS102 CapWatcher Q-Line CapWatcher S-Line CapWatcherSC (Specialty Closures) IntraOne! Up to 4,000 caps/min 60cps / 3,600cpm / 216,000cph 80cps / 4,800cpm / 288,000cph 80cps / 4,800cpm / 288,000cph 50cps / 3,000cpm / 180,000cph Artificial computer vision algorithms, spark tester 3 cameras for inner inspection (sealing elements, thread, tamper evident), 4 cameras for shell inspection, 1 camera for topwall inspection, contactless microhole inspection, temperature measurement, cavity reading 1 camera for inner inspection, 4 cameras for shell inspection, 1 camera for cavity reading, microhole inspection Fully customised inspection systems that are tailored to the needs and wishes of our customers The perfect system for OEM- integration into capper-, filler-, assembly-, laser- or printing- systems Plastic-, tethered -, lasric -, sports-, hinge-, and multi components caps Tethered caps, standard one-piece beverage closures, standard two-piece beverage closures Standard one-piece beverage closures, standard two-piece beverage closures Tethered caps, carton fitment, flip-top, sports cap, push-pull, 3-piece closures, screw top cap, spout & dosing, beauty & home-care, food & beverage, pharma, automotive, inserts, cutters, lids, dustcover Tethered caps, standard one-piece beverage closures, standard two-piece beverage closures, carton fitment, flip-top, sports cap, push-pull, 3-piece closures, screw top cap Yes Measurement of inner seal cone diameter ( σ =0.02mm), Pulled Thread Inspection, Tamper Evident Band Inspec- tion, Black specks, Contamination, Color deviation, Inner Seal Cone, Outer Seal Cone, Plug Seal, Constant distance between Inner Seal and Outer Seal, Homogene- ity between Inner Seal and Outer Seal Pulled Thread Inspection, Black specks, Contamination, Colour deviation, Inner Seal Cone, Outer Seal Cone, Liner, Laser engraving,Promotion Codes, QR-codes, Cavity Number Reading Measurement of inner seal cone diameter, Pulled Thread Inspection, Tamper Evident Band Inspection, Black specks, Contamination, Color deviation, Inner Seal Cone, Outer Seal Cone, Plug Seal, Constant distance between Inner Seal and Outer Seal, Homogeneity between Inner Seal and Outer Seal, Liner, Laser engraving, QR-codes, Promotion Codes, Cavity Number Reading, Yes Measurement of outer closure diameter ( σ =0.02mm) and height ( σ =0.02mm), long gate inspection, slit quality for slitted closures, broken bridges, hinges, flashes between bridges, colour deviation, black specks Measurement of outer closure diameter & height, broken bridges, flashes between bridges, colour deviation, black specks, contamination, ovality, short shots, flashes Measurement of outer closure diameter & height, long gate inspection, slit quality for slitted closures, broken bridges, flashes between bridges, colour deviation, black specks, contamination, ovality, short shots, flashes, angel hairs. Yes High precision measurement of the outer closure diam- eter: accuracy σ =0.02 mm, High precision measurement of the inner seal cone diameter: accuracy σ =0.02 mm, High precision measurement of the outer closure height: accuracy σ =0.02 mm Measurement of outer closure diameter & height, measure- ment of inner seal cone Diameter and ovality, height, assembly faults, missing & damaged compo- nents, damaged seal cone, vertical long shots, open & closed short shots, horizontal/radial long shots, tamper evident band, damaged flaps, turned up flaps, damaged pull tabs, missing or damaged quality seal Yes Robust cavity reading with special illumination technol- ogy, cap-oriented imaging & machine-learning algorithms for cavity recognition. No time-consuming teaching or learning procedure necessary. This enables the creation of real-time heat maps of moulds. Problems in temperature control of individual cavities or entire heating & cooling circuits can be detected & eliminated. Robust cavity reading with specially developed illumination technology, cap-oriented imaging and machine- learning algorithms for outstanding cavity recognition. No time-consuming teaching or learning procedure necessary Yes, using spark tester New contactless microhole inspection, no need to dip into the closure -> must-have for tethered caps with inserts Microholes in the area of the injection gate New contactless microhole inspection - no need to dip into the closure Yes Missing components, closure height, diameter and ovality, flow lines, weight, Label, l*a*b values, barrier inspection, layer inspection, tactile measurement Precise sidewall inspection through CVS360-3D module, sidewall through 4 images by 4 side cameras. Algorithm allows compensation of any deformation of the image that might stem from perspective, optical deformation and spatil position. Precise decoration inspection including. Pull-Off test, TE-Features Yes, 2.5M pixels, inspection of colour registration, colour shades, stains, contamination, mixed decorations, wrong colours, missed colour planes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes CHS102 is the new compact and fast solution designed by Sacmi to ensure the highest quality levels to your caps. It installs the newer CVs20 software platform (Computer Vision software 2020), that is common to all Sacmi Computer Vision Systems. CVs20 widely uses Artificial intelligence algorithms. Complete with 7 high resolution colour cameras. Data base connection, reject rate monitoring, production monitoring, integrated control of up- and downstream equipment, integrated trend statistics with pre-warning. IntraVisualizer - data analytics to improve production quality visualises the data of all Intravis systems on site simultaneously. Most importantly, it helps to investigate defective product (Root-cause analysis) predicting and avoiding quality failures and material waste. In addition, it detects negative trends before faulty products are produced. It is possible to integrate data from different production machines with a robust OPC-UA interface according to Euromap standard.